Korex is an AI & automation consultancy based in York, UK. We help teams improve efficiency, reduce operational overhead, and scale more effectively through intelligent systems, automation, and AI-native workflows.
Most growing businesses do not have one big technology problem. They have dozens of small operational problems that compound: manual admin, repeated data entry, disconnected tools, slow handoffs, inconsistent reporting, and teams spending too much time keeping processes moving by hand.
Korex fixes that by designing and building systems that automate the right parts of the workflow, connect the tools that matter, and make day-to-day operations easier to run as the business grows.
Korex is part of the Maple Logic group, alongside Vesra, Darkshield, Ruvia, and GoHire.
We are UK based and built for teams that care about operational efficiency, data handling, reliable automation, and long-term system improvement. When technology carries real work, it needs the same discipline as any other critical part of the business.
We are engineers and operators with deep experience building production software, internal platforms, integrations, and AI-powered workflows. We focus on practical automation that removes manual work, improves visibility, and makes operations easier to scale.
That experience shapes how we work. We care about the practical detail: the workflow that needs fewer manual steps, the integration that has to fail safely, the dashboard that must show the right thing under pressure, and the operating rhythm that keeps improvements from decaying after launch.
We start with the business process, then design the technology around it. We look for the places where intelligent systems, automation, and AI-native workflows can remove manual effort, improve throughput, increase visibility, or make growth easier to manage.
We stay involved beyond launch because production systems change as teams, tools, APIs, and customer expectations change. Korex exists to keep those systems monitored, maintained, and improving so the efficiency gains continue after the first release.